Registration of Point Clouds Based on Differential Geometry of Surface’s Feature

A method for accurate registration on point clouds is presented in the paper. Manual alignment or the use of landmarks is avoided in the process of multi-view point clouds. Firstly, the differential geometric information is extracted from the point clouds. The extended Gaussian sphere and combinatio...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 101-102; pp. 232 - 235
Main Authors Zhang, Xue Сhang, Gao, Xue Jun
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.01.2012
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Summary:A method for accurate registration on point clouds is presented in the paper. Manual alignment or the use of landmarks is avoided in the process of multi-view point clouds. Firstly, the differential geometric information is extracted from the point clouds. The extended Gaussian sphere and combination features are used to define the corresponding points of crude alignment. Secondly, the optimal algorithm,the point-to-point Iterated Closest Point, is applied to the accurate registration on point clouds. Thus, the complete point cloud can be obtained in the method.
Bibliography:Selected, peer reviewed papers from the International Conference on Engineering Design and Optimization (ICEDO 2011), August 19-21, 2011, Ningbo, China
ISBN:3037852593
9783037852590
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.101-102.232